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talk is uploaded!
I’m giving a talk on my new project next month!
I’m giving a talk on my new project next month!
SENSEI can also guide exploration in combination with task rewards. When playing Pokémon Red from pixels, we achieve superior performance to Dreamer (pure task rewards) and Plan2Explore. Only SENSEI manages to obtain the first Gym Badge within 2M steps of exploration 🥇 7/8
We trained a tiny model to beat Pokemon Red on 1 GPU. This is a qualitatively new result for RL because the game takes ~25 hours to beat! Most tasks used in research run seconds to minutes. Work with @dsrubinstein @DanAdvantage @kywch500 @computerender
David's been doing awesome work on this! It's been super fun to see this develop in the last couple years. Check out his blog post!
David's been doing awesome work on this! It's been super fun to see this develop in the last couple years. Check out his blog post!
The work Mykhailo has been doing on this project is incredibly impressive. He's created the first tensor/ml library that supports pytorch nn style code, realtime rendering, and non-nvidia gpus. He's already made a ton of amazing demos. Check out the blog post & star the repo!
The work Mykhailo has been doing on this project is incredibly impressive. He's created the first tensor/ml library that supports pytorch nn style code, realtime rendering, and non-nvidia gpus. He's already made a ton of amazing demos. Check out the blog post & star the repo!
A YouTuber open sourced an RL algorithm for Pokemon Red and there's a multiplayer map where you can watch different people's models explore the game
Yet another breakthrough: the AI has just managed to defeat the first gym leader!! 🏅🏅 progress has been accelerating recently, how long will it take to get to the next city? in-game playtime: 5h total training time: ~5,500h
Amazing to see how quickly a community is forming around RL for Pokemon. @dvruette and others have been working on support for gen3 games and are already making a ton of progress! More soon
Amazing to see how quickly a community is forming around RL for Pokemon. @dvruette and others have been working on support for gen3 games and are already making a ton of progress! More soon
Looking forward to this!
Pokemon Red agent hacked our reward function. We gave points for gaining health, so it learned to repeatedly deposit and withdraw pokemon...oops Demo powered by Pufferlib. Project by @computerender. We're all in the Discord -- come hang out and contribute!
Over the last couple years I've been training a reinforcement learning agent to play pokemon red. I put together a video documenting the AI's learning, and my process creating it. Enjoy! 🔗 youtu.be/DcYLT37ImBY
Nouvelle expérimentation d'installation interactive qui combine créativité humaine et intelligence artificielle. Créez votre composition avec des formes colorées et laissez l'IA vous surprendre avec son style unique.🎨🤖#AI #TouchDesigner #interactive vimeo.com/796622497
New tutorial available showing how to use computerender for vid2vid styling! github.com/computerender/… #stablediffusion #vid2vid
Working on a component for TouchDesigner to seamlessly generate images with Stable Diffusion using computerender.com. I'm so excited to share the component and tutorial shortly. #stablediffusion #newmediaart #aiart #audioreactivevisuals
What will you make in tapAIstry? join the fun! LIVE daily (so follow to stay in tune) 👇 twitch.tv/scottie_fox #aiartcommunity #stablediffusion #touchdesigner
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